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Probability Models in Operations Research: Operations Research Series

Autor C. Richard Cassady, Joel A. Nachlas
en Limba Engleză Hardback – 5 aug 2008
Industrial engineering has expanded from its origins in manufacturing to transportation, health care, logistics, services, and more. A common denominator among all these industries, and one of the biggest challenges facing decision-makers, is the unpredictability of systems. Probability Models in Operations Research provides a comprehensive overview of the probabilistic and stochastic modeling approaches commonly used to capture the randomness in industrial and systems engineering.
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Specificații

ISBN-13: 9781420054897
ISBN-10: 1420054899
Pagini: 222
Ilustrații: 15 b/w images, 2 tables and 200 equations
Dimensiuni: 156 x 234 x 18 mm
Greutate: 0.39 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Seria Operations Research Series


Public țintă

Professional Practice & Development

Cuprins

Probability Modeling Fundamentals. Analysis of Random Variables. Analysis of Multiple Random Variables. Bernoulli Processes. Discrete-Time Markov Chains. Poisson Processes. Renewal Processes. Continuous-Time Markov Chains. Queueing Theory.

Notă biografică

Cassady, C. Richard; Nachlas, Joel A.

Descriere

Balancing applications with mathematical rigor, Probability Models in Operations Research provides an introduction to the use of probability to define models that have applications in industrial engineering and operations research. With a concise review of the key components of probability theory, this book offers coverage of all basic model forms, probability modeling fundamentals, random variables analysis, multiple random variables analysis, Bernoulli processes, discrete-time Markov chains, Poisson processes, renewal processes, continuous-time Markov chains, and queueing theory. The text serves as a practical reference for those who use probability to model system behaviors.